Riverine groundwater discharge estimation in a dynamic river corridor using 222Rn. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Liao, Fu; Cardenas, M. Bayani; Chen, Xiaobing; Wang, Guangcai
• Is Part Of: Hydrological processes. Volume 37:Issue 1(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2023-01-02
• Subjects: dynamic -- groundwater‐surface water exchange -- groundwater discharge -- 222Rn; Hydrology -- Periodicals; Hydrology -- Research -- Periodicals; Hydrologic models -- Periodicals; Hydrological forecasting -- Periodicals; 631.432
• DOI: 10.1002/hyp.14788
• Languages: English
• ISSNs: 0885-6087

Abstract

Abstract: Groundwater discharge flux into rivers (riverine groundwater discharge or RGD) is essential information for the conservation and management of aquatic ecosystems and resources. One way to estimate area‐integrated groundwater discharge into surface water bodies is to measure the concentration of a groundwater tracer within the water body. We assessed groundwater discharge using 222 Rn, a tracer common in many surface water studies, through field measurements, surface water 222 Rn mass balance model, and groundwater flow simulation, for the seldom studied but ubiquitous setting of a flooding river corridor. The investigation was conducted at the dam‐regulated Lower Colorado River (LCR) in Austin, Texas, USA. We found that 222 Rn in both the river water and groundwater in the river bank changed synchronously over a 12‐hour flood cycle. A 222 Rn mass balance model allowed for estimation of groundwater discharge into a 500‐m long reach of the LCR over the flood. The groundwater discharge ranged between negative values (indicating recharge) to 1570 m 3 /h; groundwater discharge from groundwater flow simulations corroborated these estimates. However, for the dynamic groundwater discharge estimated by the 222 Rn box model, assuming whether the groundwater 222 Rn endmember was constant or dynamic led to notably different results. The resultant groundwater discharge estimates are also highly sensitive to river 222 Rn values. We thus recommend that when using this approach to accurately characterize dynamic groundwater discharge, the 222 Rn in near‐stream groundwater should be monitored at the same frequency as river 222 Rn. If this is not possible, the 222 Rn method can still provide reasonable but approximate groundwater discharge given background information on surface water‐groundwater exchange time scales. Abstract : The results in our work are helpful for researchers to assess the estimated dynamic groundwater discharge using a fixed endmember because in lots of study areas it is difficult to continuously monitor the groundwater 222 Rn closed to the river as our work done.